Special Plenary Panel
11–15 July 2027
Program
Five days in Singapore: registration and welcome reception, three days of technical tracks with a conference banquet, and a visit to NTU.
Highlights
The week at a glance
Sun
11 Jul
- Registration
- Welcome Reception
Mon
12 Jul
- Day 1 Technical Tracks
Tue
13 Jul
- Day 2 Technical Tracks
- Conference Banquet
Wed
14 Jul
- Day 3 Technical Tracks
Thu
15 Jul
- NTU Visit
The detailed session programme, plenary speakers and the downloadable programme book will be published after
notification of acceptance. The schedule may be adjusted according to local conditions.
Technical tracks
Sessions are organised around the conference topics:
Autonomous Spacecraft Operations
AI-based autonomous navigation, guidance, maneuvering, and onboard decision-making. Onboard AI for anomaly detection, fault diagnosis, health monitoring, and recovery. Automation and coordination of satellite constellations.
Space Mission Planning and Scheduling
AI-enabled mission design, planning, scheduling, and optimization of onboard and ground resources. Real-time adaptation of mission plans to changing conditions and unforeseen events.
Data Analysis and Interpretation
AI for processing large-scale space datasets: satellite imagery, sensor measurements, and astronomical observations. Pattern recognition, anomaly detection, classification, and predictive analytics.
Space Exploration and Robotic Missions
Intelligent systems for autonomous exploration of planetary surfaces, asteroids, and celestial bodies. Machine learning, computer vision, and robotics in rovers, landers, and exploration platforms.
Satellite Communication and Networking
AI-enhanced communication architectures and protocols for spacecraft-to-ground data transmission. Dynamic optimization of satellite networks for throughput, resilience, and reduced latency.
Resource Utilization in Space
AI-driven prospecting, extraction, and management of extraterrestrial resources — lunar water ice, asteroid materials — supporting sustainable exploration and long-duration missions.
Space Education and Space Economy
AI-enabled platforms for space education, workforce training, and interdisciplinary talent development. AI-driven opportunities in the space economy: commercialization, business models, and satellite data services.
Space Data Centres & In-Orbit Computing
Space-based data centres and edge computing for onboard processing, storage, and real-time analytics. AI optimization of distributed computing across space and ground segments under bandwidth and latency constraints.
Space Policy and Law
AI governance, legal frameworks, orbital safety, and ethical AI deployment in space applications.
Space Life Science
AI applications in space biology, crew health monitoring, life support systems, and space medicine.